Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/Junya-Chen/FlatCLR
/ functions
Functions
113 in github.com/Junya-Chen/FlatCLR
⨍
Functions
113
◇
Types & classes
26
Method
forward
(self, inputs)
models/utils.py:98
Method
forward
(self, x)
models/resnet.py:58
Method
forward
(self, x)
models/resnet.py:98
Method
forward
(self, x)
models/resnet.py:243
Function
prepare_cifar
(ratio=100)
prepare_data.py:11
Function
prepare_cifar100
(ratio=100)
prepare_data.py:50
Function
prepare_tinyimagenet_v2
(ratio=100)
prepare_data.py:170
Function
resnet34
r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b
models/resnet.py:280
Function
resnext101_32x8d
r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args
models/resnet.py:342
Function
resnext50_32x4d
r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args:
models/resnet.py:328
Function
setup_seed
(seed)
utils.py:75
Function
wide_resnet101_2
r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except fo
models/resnet.py:374
Function
wide_resnet50_2
r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for
models/resnet.py:356
← previous
101–113 of 113, ranked by callers